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首页> 外文期刊>Talanta: The International Journal of Pure and Applied Analytical Chemistry >Compositional differences among Chinese soy sauce types studied by C-13 NMR spectroscopy coupled with multivariate statistical analysis
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Compositional differences among Chinese soy sauce types studied by C-13 NMR spectroscopy coupled with multivariate statistical analysis

机译:C-13 NMR光谱结合多元统计分析研究中国酱油类型之间的成分差异

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摘要

Soy sauce a well known seasoning all over the world, especially in Asia, is available in global market in a wide range of types based on its purpose and the processing methods. Its composition varies with respect to the fermentation processes and addition of additives, preservatives and flavor enhancers. A comprehensive H-1 NMR based study regarding the metabonomic variations of soy sauce to differentiate among different types of soy sauce available on the global market has been limited due to the complexity of the mixture. In present study, C-13 NMR spectroscopy coupled with multivariate statistical data analysis like principle component analysis (PCA), and orthogonal partial least square-discriminant analysis (OPLS-DA) was applied to investigate metabonomic variations among different types of soy sauce, namely super light, super dark, red cooking and mushroom soy sauce. The main additives in soy sauce like glutamate, sucrose and glucose were easily distinguished and quantified using C-13 NMR spectroscopy which were otherwise difficult to be assigned and quantified due to serious signal overlaps in H-1 NMR spectra. The significantly higher concentration of sucrose in dark, red cooking and mushroom flavored soy sauce can directly be linked to the addition of caramel in soy sauce. Similarly, significantly higher level of glutamate in super light as compared to super dark and mushroom flavored soy sauce may come from the addition of monosodium glutamate.
机译:酱油是世界范围内众所周知的调味料,尤其是在亚洲,根据其用途和加工方法,可以在全球市场上找到各种各样的类型。其组成随发酵过程以及添加添加剂,防腐剂和增味剂而变化。由于混合物的复杂性,有关基于酱油的代谢组学变异以区分全球市场上不同类型酱油的基于H-1 NMR的综合研究受到了限制。在本研究中,C-13 NMR光谱结合主成分分析(PCA)等多变量统计数据分析和正交偏最小二乘判别分析(OPLS-DA)用于研究不同类型酱油之间的代谢组学差异,即超轻,超暗,红色烹饪和蘑菇酱油。酱油中的主要添加剂(如谷氨酸,蔗糖和葡萄糖)易于使用C-13 NMR光谱进行区分和定量,否则由于H-1 NMR光谱中存在严重的信号重叠而难以分配和定量。深色,红色烹饪和蘑菇味酱油中蔗糖浓度的显着升高可直接与酱油中焦糖的添加相关。类似地,与超深色和蘑菇味的酱油相比,超轻型中的谷氨酸水平明显更高,这可能是由于添加了味精所致。

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